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An Application for Pairing with Wearable Devices to Monitor Personal Health Status
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Internet of things-based cloud computing platform for analyzing the physical health condition.

Mengyao Cui1,2, Seung-Soo Baek2, Rubén González Crespo3

  • 1Yangtze Normal University, Chongqing, China.

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Real-time patient health monitoring using the Internet of Things (IoT) and cloud computing offers a reliable approach for early disease detection. This framework enhances patient care by enabling continuous tracking and data analysis for timely interventions.

Keywords:
IoTcloud computingcloud databasecloud servers

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Area of Science:

  • Biomedical Engineering
  • Health Informatics
  • Internet of Things (IoT)

Background:

  • Proactive health monitoring is crucial for early disease diagnosis, reducing patient discomfort and healthcare costs.
  • Timely interventions based on continuous health data significantly improve patient outcomes.
  • The Internet of Things (IoT) enables accessible, value-based patient health programs.

Purpose of the Study:

  • To propose an IoT-based cloud computing for patient health monitoring framework (IoT-CCPHM).
  • To enable effective, real-time patient health monitoring and data management.

Main Methods:

  • Utilizing connected sensors and IoT devices to monitor vital signs like cardiac speed, oxygen saturation, body temperature, and eye movement.
  • Storing and evaluating collected patient data in a cloud database.
  • Processing medical records on cloud servers via the IoT-CCPHM.

Main Results:

  • Experimental results demonstrate the reliability of the proposed patient health monitoring system.
  • The system effectively contributes to improving overall patient health outcomes.

Conclusions:

  • The IoT-CCPHM framework provides a reliable solution for continuous patient health monitoring.
  • This approach facilitates early disease detection and enhances healthcare management.